Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7724 LNCS, Issue PART 1, 2013, Pages 548-562

  Hinterstoisser, Stefan ^a   Lepetit, Vincent ^c   Ilic, Slobodan ^a   Holzer, Stefan ^a   Bradski, Gary ^b   Konolige, Kurt ^b   Navab, Nassir ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b Industrial Perception Inc   (United States)

^c EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC MODELING; CLUTTERED SCENES; COLOR INFORMATION; OBJECT DETECTION; OBJECT MANIPULATION; POSE ESTIMATION; ROBOTICS APPLICATIONS; VIDEO SEQUENCES;

ARTIFICIAL INTELLIGENCE;

CONTENT BASED RETRIEVAL;

EID: 84875875840     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37331-2_42     Document Type: Conference Paper

References (30)

1. Hinterstoisser, S., Cagniart, C., Holzer, S., Ilic, S., Konolige, K., Navab, N., Lepetit, V.: Multimodal Templates for Real-Time Detection of Texture-Less Objects in Heavily Cluttered Scenes. In: ICCV (2011)
2. Newcombe, R.A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A.J., Kohli, P., Shotton, J., Hodges, S., Fitzgibbon, A.: KinectFusion: Real-Time Dense Surface Mapping and Tracking. In: ISMAR (2011)
3. Pan, Q., Reitmayr, G., Drummond, T.: ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition. In: BMVC (2009)
4. Weise, T., Wismer, T., Leibe, B., Gool, L.V.: In-hand Scanning with Online Loop Closure. In: International Workshop on 3-D Digital Imaging and Modeling (2009)
5. Newcombe, R.A., Lovegrove, S.J., Davison, A.J.: DTAM: Dense Tracking and Mapping in Real-Time. In: ICCV (2011)
6. Viola, P., Jones, M.: Fast Multi-View Face Detection. In: CVPR (2003)
7. Stark, M., Goesele, M., Schiele, B.: Back to the Future: Learning Shape Models from 3D Cad Data. In: BMVC (2010)
8. Liebelt, J., Schmid, C.: Multi-View Object Class Detection With a 3D Geometric Model. In: CVPR (2010)
9. Ferrari, V., Jurie, F., Schmid, C.: From Images to Shape Models for Object Detection. In: IJCV (2009)
10. Payet, N., Todorovic, S.: From contours to 3d object detection and pose estimation. In: ICCV, pp. 983-990 (2011)
11. Gavrila, D., Philomin, V.: Real-Time Object Detection for "smart" Vehicles. In: ICCV (1999)
12. Huttenlocher, D., Klanderman, G., Rucklidge, W.: Comparing Images Using the Hausdorff Distance. TPAMI (1993)
13. Steger, C.: Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition. In: Radig, B., Florczyk, S. (eds.) DAGM 2001. LNCS, vol. 2191, pp. 148-154. Springer, Heidelberg (2001)
14. Hinterstoisser, S., Lepetit, V., Ilic, S., Fua, P., Navab, N.: Dominant Orientation Templates for Real-Time Detection of Texture-Less Objects. In: CVPR (2010)
15. Mian, A.S., Bennamoun, M., Owens, R.A.: Automatic Correspondence for 3D Modeling: an Extensive Review. International Journal of Shape Modeling (2005)
16. Zhang, Z.: Iterative Point Matching for Registration of Free-Form Curves. In: IJCV (1994)
17. Johnson, A.E., Hebert, M.: Using Spin Images for Efficient Object Recognition in Cluttered 3 D Scenes. TPAMI (1999)
18. Drost, B., Ulrich, M., Navab, N., Ilic, S.: Model Globally, Match Locally: Efficient and Robust 3D Object Recognition. In: CVPR (2010)
19. Mian, A.S., Bennamoun, M., Owens, R.: Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes. TPAMI (2006)
20. Rusu, R.B., Blodow, N., Beetz, M.: Fast Point Feature Histograms (FPFH) for 3D Registration. In: International Conference on Robotics and Automation (2009)
21. Tombari, F., Salti, S., Di Stefano, L.: Unique Signatures of Histograms for Local Surface Description. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 356-369. Springer, Heidelberg (2010)
22. Sun, M., Bradski, G., Xu, B.-X., Savarese, S.: Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 658-671. Springer, Heidelberg (2010)
23. Lai, K., Bo, L., Ren, X., Fox, D.: Sparse distance learning for object recognition combining rgb and depth information. In: ICRA, pp. 4007-4013 (2011)
24. Grabner, M., Grabner, H., Bischof, H.: Learning Features for Tracking. In: CVPR (2007)
25. Ozuysal, M., Calonder, M., Lepetit, V., Fua, P.: Fast Keypoint Online Learning and Recognition. TPAMI (2010)
26. Kalal, Z., Matas, J., Mikolajczyk, K.: P-N Learning: Bootstrapping Binary Classifiers by Structural Constraints. In: CVPR (2010)
27. Hinterstoisser, S., Benhimane, S., Lepetit, V., Fua, P., Navab, N.: Simultaneous Recognition and Homography Extraction of Local Patches With a Simple Linear Classifier. In: BMVC (2008)
28. Fitzgibbon, A.: Robust Registration fo 2D and 3D Point Sets. In: BMVC (2001)
29. Hinterstoisser, S., Ilic, S., Sturm, P., Navab, N., Fua, P., Lepetit, V.: Gradient Response Maps for Real-Time Detection of Texture-Less Objects. TPAMI (2012)
30. Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection. In: CVPR (2005)